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UPDATED 8/21/2026 - The latest **LTX Video-2.3 Uncensored Turbo v1.4** DiT with **Distilled** LoRA **baked in**. **Modes:** `img2video`, `txt2video`, FL2VA / T2VA / I2VA / REF2VA/ AUDIO-TO-VIDEO. A pre-merged, GGUF and FP8 build of **LTX Video-2.3** with three fine-tunes baked into the weights:
**UPDATED 9/10/2026:** - The latest **LTX Video-2.5 Uncensored Turbo v1.1**. `fp8_scaled` for speed. - **Uncensored Gemma4 12B** text encoder w/ LTX projections baked-in (no extra files needed). `int8` for speed and accuracy. **Modes:** `img2video`, `txt2video`, FL2VA / T2VA / I2VA / REF2VA/ AUDIO-TO-VIDEO. A pre-merged, GGUF and FP8 build of **LTX Video-2.5** with five fine-tunes baked into the weights:
The MiniMax H3 **FL2VA (pruned)** DiT with the **LightX2V Turbo 8-step v1.0** LoRA **baked in**. The MiniMax H3 **REF2VA (pruned)** DiT with the **LightX2V Turbo 4-step v1.0** LoRA **baked in**. Both samples use the **same** turbo **Q4_K_M turbo GGUF** diffusion model, prompt, and settings, only the **text encoder** changes (4B vs 8B).
Complete songs with vocals from a **caption** (music description) + **lyrics**. Up to ~5 min, stereo 44.1 kHz. In comfy: - Open the ComfyUI Manager - Change the channel to "Channel (remote)" - and search for comfyui-gguf-loader **Caption in three parts:** - global metadata (genre, BPM, key, mood) - vocal details - arrangement.
A pre-merged, quantized build of **Qwen-Image-Edit-2509** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. Prompt: Show this exact teddy bear in one image as three separate full-body views in a row, evenly spaced: front view facing the camera, left side view, and back view facing away from the camera. In every view the head faces the same direction as the body — in the back view the head is also turned away from the camera and the face is completely hidden. Keep the character design, white t-shirt with the Qwen logo, lighting style, and light gray background perfectly consistent across all three views.
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A pre-merged, quantized build of **Qwen-Image-Edit-2511** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. - **Note:** "Editing" is not this models strength, the model needs further tuning for stronger NSFW edits.
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*Note that all these models are derivatives of black-forest-labs/FLUX.1-dev and therefore covered by the [FLUX.1 [dev] Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) license.* A collection of GGUF models using mixed quantization (different layers quantized to different precision to optimise fidelity v. memory), created using mixed gguf converter. They can be loaded in ComfyUI using the ComfyUI GGUF Nodes. Just put the gguf files in your models/unet directory.
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